Exploiting Symmetries of Distributions in CNNs and Folded Coding. - Ehsan Emad Marvasti; Amir Emad Marvasti; Hassan Foroosh (CRV, 2018)

Rediscovering Deep Neural Networks in Finite-State Distributions. - Amir Emad Marvasti; Ehsan Emad Marvasti; George K. Atia; Hassan Foroosh (CoRR, 2018)

Maximum Probability Principle and Black-Box Priors. - Amir Emad Marvasti; Ehsan Emad Marvasti; Hassan Foroosh (CoRR, 2019)

Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection. - Ehsan Emad Marvasti; Arash Raftari; Amir Emad Marvasti; Yaser P. Fallah (CAVS, 2020)

Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks. - Ehsan Emad Marvasti; Arash Raftari; Amir Emad Marvasti; Yaser P. Fallah; Rui Guo; Hongsheng Lu (VTC Fall, 2020)

Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors. - Ehsan Emad Marvasti; Arash Raftari; Yaser P. Fallah; Rui Guo; Hongsheng Lu (CoRR, 2020)

Maximum Probability Theorem: A Framework for Probabilistic Machine Learning. - Amir Emad Marvasti; Ehsan Emad Marvasti; Ulas Bagci; Hassan Foroosh (IEEE Trans. Artif. Intell., 2021)

Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem. - Amir Emad Marvasti; Ehsan Emad Marvasti; Ulas Bagci (CoRR, 2022)

A Statistical Approach Toward Channel Modeling With Application to Large-Scale Censored Data. - Ehsan Emad Marvasti; S. M. Osman Gani; Yaser P. Fallah (IEEE Trans. Intell. Transp. Syst., 2022)